Description: This book presents a collection of representative and novel work in the field of data mining, knowledge discovery, clustering and classification, based on expanded and reworked versions of a selection of the best papers, originally presented in French at the EGC 2014 and EGC 2015 conferences held in Rennes (France) In January 2014 and Luxembourg in January 2015. This book is in 3 parts: The first 4 chapters discuss optimization considerations and data mining. The second part explores specific quality measures, dissimilarities and ultrametrics. The final chapter's focus on semantics, ontologies and social networks. Written for PhD and MSc students, as well as researchers working in the field, it addresses both theoretical and practical aspects of knowledge discovery and management.
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Item Specifics
All returns accepted: ReturnsNotAccepted
Level: Advanced
Number of Pages: Xxi, 278 Pages
Publication Name: Advances in Knowledge Discovery and Management : Vol. 6
Language: English
Publisher: Springer International Publishing A&G
Subject: Knowledge Capital, Probability & Statistics / General, Intelligence (Ai) & Semantics, Databases / Data Mining
Publication Year: 2016
Item Weight: 202.4 Oz
Type: Textbook
Subject Area: Mathematics, Computers, Business & Economics
Author: Bruno Pinaud
Item Length: 9.3 in
Series: Studies in Computational Intelligence Ser.
Item Width: 6.1 in
Format: Hardcover
